PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-05-09 10:22:14.493467+00:00 (UTC)
In US/Central Time, this is 2024-05-09 05:22:14.493467-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/9efedb2835f2dfe0937758696951ac8b15e43cf61e9eb45351c0d5649032348a.png
We are just generating a random time serie here.
../_images/ba3ee0f6981e686e06881402f9b117b9173d896cccb2854ee26735cfe035c30f.png
../_images/361539128a0a1bd2fad9fcd45328f27f78c4fbc967448a29a9ce587370caf4fe.png